Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation

A. Shintemirov; W. H. Tang; Z. Lu; Q. H. Wu

Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation

A. Shintemirov, W. H. Tang, Z. Lu, Q. H. Wu

Department of Robotics and Mechatronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.

Original language	English
Title of host publication	Applications of Evolutionary Computing - EvoWorkshops 2007
Subtitle of host publication	EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings
Pages	145-152
Number of pages	8
Publication status	Published - Aug 27 2007
Event	EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG - Valencia, Spain Duration: Apr 11 2007 → Apr 13 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4448 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG
Country	Spain
City	Valencia
Period	4/11/07 → 4/13/07

Keywords

Particle swarm optimiser with passive congregation
Transformer winding mathematical model

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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Shintemirov, A., Tang, W. H., Lu, Z., & Wu, Q. H. (2007). Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. In Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings (pp. 145-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4448 LNCS).

Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. / Shintemirov, A.; Tang, W. H.; Lu, Z.; Wu, Q. H.

Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings. 2007. p. 145-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4448 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shintemirov, A, Tang, WH, Lu, Z & Wu, QH 2007, Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. in Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4448 LNCS, pp. 145-152, EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Valencia, Spain, 4/11/07.

Shintemirov A, Tang WH, Lu Z, Wu QH. Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. In Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings. 2007. p. 145-152. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Shintemirov, A. ; Tang, W. H. ; Lu, Z. ; Wu, Q. H. / Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings. 2007. pp. 145-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.

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Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation

Abstract

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Keywords

ASJC Scopus subject areas

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